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Data Fusion in the Environmental Domain

  • Hylke van der Schaaf
  • Mike Kobernus
  • Markus Falgenhauer
  • Jasmin Pielorz
  • Kym Watson
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 413)

Abstract

Air quality and air pollution have a very large impact on human health. The sensitivity to different pollutants varies per person, therefore it is important that citizens can get personalised air quality information. The Personal Environmental Information System (PEIS) aims at delivering just that. The PEIS takes sensor data from several data providers and employs a service-oriented architecture to deliver these observations to the user through a smartphone application. The PEIS also uses scientific models to fuse the sensor data and create new, derived observations. To make scientific models that fuse sensor data fit better in a service-oriented architecture, a software framework called Fusion4Decision was developed. This framework is based on Open Geospatial Consortium standards and allows scientific models written in languages like MATLAB or R to be available as a web service.

Keywords

air quality open geospatial standards environmental modelling fusion 

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Hylke van der Schaaf
    • 1
  • Mike Kobernus
    • 2
  • Markus Falgenhauer
    • 3
  • Jasmin Pielorz
    • 4
  • Kym Watson
    • 1
  1. 1.Fraunhofer IOSBKarlsruheGermany
  2. 2.NILU - Norsk institutt for luftforskningKjellerNorway
  3. 3.Austrian Institute of TechnologyViennaAustria
  4. 4.Ubimet GmbHViennaAustria

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